Open Source Image Generation Tools
Image generation uses computational models to create or modify images from inputs such as text prompts, reference pictures, or structured controls. It can help with concept art, illustrations, design assets, and visual experiments, while offering ways to automate repetitive work or explore variations. Some approaches run models on a user’s own hardware, while others connect to hosted inference services.
Open source tools in this area include model runtimes, graphical workflow editors, developer libraries, and applications for image editing or controlled generation. When choosing one, consider its license, maintenance activity, model compatibility, hardware and memory requirements, privacy, and integration with existing workflows. These tools can serve artists, developers, researchers, and organizations seeking local control, customization, or programmatic image creation.
6 repositories · updated September 3, 2026
OGAD: Private, On-Device AI with an OpenAI-Compatible Local Gateway
OGAD (Off Grid AI Desktop) is an open-source, AGPL-licensed application for private, on-device AI. It enables users to run various open models, including text, vision, image, and voice, entirely locally through a single OpenAI-compatible gateway. This ensures complete data privacy with no cloud dependencies, accounts, or API keys.
AUTOMATIC1111/stable-diffusion-webui: Powerful AI Image Generation Web UI
The AUTOMATIC1111/stable-diffusion-webui project offers a comprehensive web interface for Stable Diffusion, simplifying AI art generation. It provides a robust set of features, including text-to-image, image-to-image, inpainting, and upscaling, all within a user-friendly environment. This Python-based UI is a popular choice for both beginners and advanced users exploring generative AI.
StreamDiffusion: Real-Time Interactive Generation with Diffusion Pipelines
StreamDiffusion is an innovative diffusion pipeline designed for real-time interactive generation, significantly enhancing the performance of current diffusion-based image generation techniques. It offers a pipeline-level solution to achieve high-speed image and text-to-image generation, making interactive AI experiences more accessible. This project introduces several key features to optimize computational efficiency and GPU utilization.
markdown-to-image: Render Markdown into Beautiful Poster Images
markdown-to-image is a versatile React component designed to transform Markdown content into visually appealing poster images. It supports various social media formats and offers features like customizable themes and one-click deployment for a web editor. This tool is ideal for creating shareable content from plain Markdown.
Leffa: Controllable Person Image Generation with Flow Fields in Attention
Leffa is a unified framework for controllable person image generation, enabling precise manipulation of appearance through virtual try-on and pose via pose transfer. This project addresses the common issue of fine-grained textural detail distortion by learning flow fields in attention, guiding target queries to correct reference keys. It achieves state-of-the-art performance, maintaining high image quality while significantly reducing detail distortion.
dom-to-image: Convert DOM Nodes to Images with JavaScript and HTML5 Canvas
dom-to-image is a JavaScript library designed to transform any DOM node into a vector (SVG) or raster (PNG, JPEG) image. It leverages HTML5 canvas to provide a flexible solution for capturing web content. This tool is ideal for developers needing to generate visual representations of specific UI elements.